### 3. Import the pre-built Dashboard

1. Go to [one.newrelic.com](https://one.newrelic.com/) > Dashboards.
1. In the top-right corner, click **Import dashboard**.
1. Copy the dashboard JSON provided in the accordion named [`Dashboard`](#dashboard) below.
1. Paste the dashboard JSON text directly into the text area.
1. Choose the account and permission settings for the dashboard. You can't change the account once you've set it, but you can change the permissions at any time.
1. Click **Import Dashboard**.

<Accordion title="Dashboard">
    ```json
    {
      "name": "GenAI Observability",
      "description": null,
      "permissions": "PUBLIC_READ_WRITE",
      "pages": [
          {
          "name": "GenAI Observability",
          "description": null,
          "widgets": [
              {
              "title": "",
              "layout": {
                  "column": 1,
                  "row": 1,
                  "width": 4,
                  "height": 2
              },
              "linkedEntityGuids": null,
              "visualization": {
                  "id": "viz.markdown"
              },
              "rawConfiguration": {
                  "text": "# GenAI Observability Dashboard\nThis dashboard displays the usage of Large Language Models (LLM) and Vector Databases, tracking OpenTelemetry Traces and Metrics sent using [OpenLIT](https://github.com/openlit/openlit)."
              }
              },
              {
              "title": "",
              "layout": {
                  "column": 5,
                  "row": 1,
                  "width": 4,
                  "height": 2
              },
              "linkedEntityGuids": null,
              "visualization": {
                  "id": "viz.billboard"
              },
              "rawConfiguration": {
                  "facet": {
                  "showOtherSeries": false
                  },
                  "nrqlQueries": [
                  {
                      "accountIds": [
                      4060909
                      ],
                      "query": "SELECT count(`gen_ai.total.requests`) AS 'Total Successful LLM Requests' FROM Metric WHERE `telemetry.sdk.name` = 'openlit'"
                  }
                  ],
                  "platformOptions": {
                  "ignoreTimeRange": false
                  }
              }
              },
              {
              "title": "",
              "layout": {
                  "column": 9,
                  "row": 1,
                  "width": 4,
                  "height": 2
              },
              "linkedEntityGuids": null,
              "visualization": {
                  "id": "viz.billboard"
              },
              "rawConfiguration": {
                  "facet": {
                  "showOtherSeries": false
                  },
                  "nrqlQueries": [
                  {
                      "accountIds": [
                      4060909
                      ],
                      "query": "SELECT count(`db.total.requests`) AS 'Total Successful VectorDB Requests' FROM Metric WHERE `telemetry.sdk.name` = 'openlit'"
                  }
                  ],
                  "platformOptions": {
                  "ignoreTimeRange": false
                  }
              }
              },
              {
              "title": "Top GenAI Models by Usage",
              "layout": {
                  "column": 1,
                  "row": 8,
                  "width": 6,
                  "height": 6
              },
              "linkedEntityGuids": null,
              "visualization": {
                  "id": "viz.bar"
              },
              "rawConfiguration": {
                  "facet": {
                  "showOtherSeries": false
                  },
                  "nrqlQueries": [
                  {
                      "accountIds": [
                      4060909
                      ],
                      "query": "SELECT count(`gen_ai.total.requests`) FROM Metric FACET `gen_ai.request.model` WHERE `telemetry.sdk.name` = 'openlit' LIMIT 10"
                  }
                  ],
                  "platformOptions": {
                  "ignoreTimeRange": false
                  }
              }
              },
              {
              "title": "GenAI Requests by Platform",
              "layout": {
                  "column": 7,
                  "row": 8,
                  "width": 3,
                  "height": 3
              },
              "linkedEntityGuids": null,
              "visualization": {
                  "id": "viz.pie"
              },
              "rawConfiguration": {
                  "facet": {
                  "showOtherSeries": true
                  },
                  "legend": {
                  "enabled": true
                  },
                  "nrqlQueries": [
                  {
                      "accountIds": [
                      4060909
                      ],
                      "query": "SELECT count(`gen_ai.total.requests`) AS 'GenAI Requests by Platform' FROM Metric FACET `gen_ai.system` WHERE `telemetry.sdk.name` = 'openlit' LIMIT 5"
                  }
                  ],
                  "platformOptions": {
                  "ignoreTimeRange": false
                  }
              }
              }
          ]
          }
      ],
      "variables": []
    }
    ```
</Accordion>
